Evidence map›Paper›PMID 32511972›Full record

SynthesisClinica chimica acta; international journal of clinical chemistry2020

C-reactive protein: A promising biomarker for poor prognosis in COVID-19 infection.

Bikash R Sahu, Raj Kishor Kampa, Archana Padhi, Aditya K Panda

Abstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Clinica chimica acta; international journal of clinical chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed, 7 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

71 citing papers in PubMed, 7 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review

11 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Bikash R SahuSchool of Biotechnology, KIIT (Deemed to be University), Bhubaneswar, Odisha 751016, India.
Raj Kishor KampaDepartment of Library and Information Science, Khallikote University, Transit Campus: GMax Building, Konisi, Berhampur, Odisha 761008, India.
Archana PadhiDepartment of Biology, K.C. Public School, Berhampur, Odisha 760004, India.
Aditya K PandaDepartment of Bioscience and Bioinformatics, Khallikote University, Transit Campus: GMax Building, Konisi, Berhampur, Odisha 761008, India. Electronic address: adityarmrc@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe novel coronavirus disease 2019 (COVID-19) first broke out in Wuhan, China, spread over 227 countries and caused approximately 0.3 million death worldwide. Several biomolecules have been explored for possible biomarkers for prognosis outcome. Although increased C reactive protein (CRP) is associated with death due to COVID-19 infections, results from different populations remain inconsistent. For a conclusive result, the present meta-analysis was performed.

methodsWe conducted a literature search in PubMed and Scopus database for the association of CRP concentration with COVID-19 disease outcomes. A total of 16 eligible studies were enrolled in the present analysis comprising of 1896 survivors and 849 non-survivors cases. Concentrations of CRP were compared and analyzed by a meta-analysis.

resultsEgger's regression analysis (intercept = 0.04, P = 0.98, 95%CI = -5.48 to 5.58) and funnel plot revealed an absence of publication bias in the included studies. Due to the presence of significant heterogeneity across the studies (Q = 252.03, P

conclusionsConcentrations of CRP remained high in patients who died of COVID-19 infection and could be a promising biomarker for assessing disease lethality.

Indexed as

BetacoronavirusBiomarkersCohort StudiesCoronavirus InfectionsCOVID-19C-Reactive ProteinHumansPandemicsPneumonia, ViralPrognosisSARS-CoV-2BiomarkersC-Reactive ProteinBiomarkersCOVID-19CRPMeta-analysisNon-survivorsSurvivors

Identifiers

PMID32511972
PMCPMC7274122

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.